code: def hist_frame(
      data: DataFrame,
      column: IndexLabel | None = None,
      by=None,
      grid: bool = True,
      xlabelsize: int | None = None,
      xrot: float | None = None,
      ylabelsize: int | None = None,
      yrot: float | None = None,
      ax=None,
      sharex: bool = False,
      sharey: bool = False,
      figsize: tuple[int, int] | None = None,
      layout: tuple[int, int] | None = None,
      bins: int | Sequence[int] = 10,
      backend: str | None = None,
      legend: bool = False,
      **kwargs,
  ):
      """
      Make a histogram of the DataFrame's columns.
  
      A `histogram`_ is a representation of the distribution of data.
      This function calls :meth:`matplotlib.pyplot.hist`, on each series in
      the DataFrame, resulting in one histogram per column.
  
      .. _histogram: https://en.wikipedia.org/wiki/Histogram
  
      Parameters
      ----------
      data : DataFrame
          The pandas object holding the data.
      column : str or sequence, optional
          If passed, will be used to limit data to a subset of columns.
      by : object, optional
          If passed, then used to form histograms for separate groups.
      grid : bool, default True
          Whether to show axis grid lines.
      xlabelsize : int, default None
          If specified changes the x-axis label size.
      xrot : float, default None
          Rotation of x axis labels. For example, a value of 90 displays the
          x labels rotated 90 degrees clockwise.
      ylabelsize : int, default None
          If specified changes the y-axis label size.
      yrot : float, default None
          Rotation of y axis labels. For example, a value of 90 displays the
          y labels rotated 90 degrees clockwise.
      ax : Matplotlib axes object, default None
          The axes to plot the histogram on.
      sharex : bool, default True if ax is None else False
          In case subplots=True, share x axis and set some x axis labels to
          invisible; defaults to True if ax is None otherwise False if an ax
          is passed in.
          Note that passing in both an ax and sharex=True will alter all x axis
          labels for all subplots in a figure.
      sharey : bool, default False
          In case subplots=True, share y axis and set some y axis labels to
          invisible.
      figsize : tuple, optional
          The size in inches of the figure to create. Uses the value in
          `matplotlib.rcParams` by default.
      layout : tuple, optional
          Tuple of (rows, columns) for the layout of the histograms.
      bins : int or sequence, default 10
          Number of histogram bins to be used. If an integer is given, bins + 1
          bin edges are calculated and returned. If bins is a sequence, gives
          bin edges, including left edge of first bin and right edge of last
          bin. In this case, bins is returned unmodified.
  
      backend : str, default None
          Backend to use instead of the backend specified in the option
          ``plotting.backend``. For instance, 'matplotlib'. Alternatively, to
          specify the ``plotting.backend`` for the whole session, set
          ``pd.options.plotting.backend``.
  
      legend : bool, default False
          Whether to show the legend.
  
      **kwargs
          All other plotting keyword arguments to be passed to
          :meth:`matplotlib.pyplot.hist`.
  
      Returns
      -------
      matplotlib.AxesSubplot or numpy.ndarray of them
  
      See Also
      --------
      matplotlib.pyplot.hist : Plot a histogram using matplotlib.
  
      Examples
      --------
      This example draws a histogram based on the length and width of
      some animals, displayed in three bins
  
      .. plot::
          :context: close-figs
  
          >>> data = {'length': [1.5, 0.5, 1.2, 0.9, 3],
          ...         'width': [0.7, 0.2, 0.15, 0.2, 1.1]}
          >>> index = ['pig', 'rabbit', 'duck', 'chicken', 'horse']
          >>> df = pd.DataFrame(data, index=index)
          >>> hist = df.hist(bins=3)
      """
      plot_backend = _get_plot_backend(backend)
      return plot_backend.hist_frame(
          data,
          column=column,
          by=by,
          grid=grid,
          xlabelsize=xlabelsize,
          xrot=xrot,
          ylabelsize=ylabelsize,
          yrot=yrot,
          ax=ax,
          sharex=sharex,
          sharey=sharey,
          figsize=figsize,
          layout=layout,
          legend=legend,
          bins=bins,
          **kwargs,
      )
  
imports: from __future__ import annotations
  import importlib
  from typing import TYPE_CHECKING, Callable, Literal
  from pandas._config import get_option
  from pandas.util._decorators import Appender, Substitution
  from pandas.core.dtypes.common import is_integer, is_list_like
  from pandas.core.dtypes.generic import ABCDataFrame, ABCSeries
  from pandas.core.base import PandasObject
label_desc: Use image node_id 2 for calling a global function with example usage: hist_frame(data, column, by, grid, xlabelsize, xrot, ylabelsize, yrot, ax, sharex, sharey, figsize, layout, bins, backend, legend) and returns: plot_backend